Metadata-Version: 2.1
Name: tsboost
Version: 0.1.0
Summary: Time series Framework
Home-page: https://github.com/franck-durand/tsboost
Author: Franck Durand
Author-email: franck.durand@gadz.org
License: MIT license
Description: TSBoost, Time Series Boosting
        =============================
        
        
        Context
        -------
        
        TSBoost is a framework for time series forecasting.
        
        It mixes classical statistics practices with non linear optimisation techniques of current Machine Learning.
        
        Requirements
        ------------
        
        32-bit Python is not supported. Please install 64-bit version.
        
        
        TSBoost uses gradient boosting optimisation provided by `XGBoost <https://github.com/dmlc/xgboost>`_ & `LightGBM <https://github.com/microsoft/LightGBM>`_, both have C++ source code and need a compiler.
        
        
        For **Windows** users, `VC runtime <https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads>`_ is needed if **Visual Studio** (2015 or newer) is not installed.
        
        
        For **Linux** users, **glibc** >= 2.14 is required
        
            sudo apt-get install build-essential      # Ubuntu/Debian
        
            sudo yum groupinstall 'Development Tools' # CentOS/RHEL
        
        For **macOS** users, install OpenMP librairy
        
            brew install libomp
        
        Installation
        ------------
        
        After installing the compiler, install from `PyPI <https://pypi.org/project/tsboost>`_ Using ``pip``
        
        
            pip install tsboost
        
        
        Quick Start
        -----------
        
        You can get started with a jupyter notebook tutorial : `TSBoot quick start <https://github.com/franck-durand/tsboost/jupyter/tsboost_quick_start.ipynb>`_
        
        
        
        
        
        =======
        History
        =======
        
        0.1.0 (2019-06-10)
        ------------------
        
        * First release on PyPI.
        
Keywords: tsboost
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/x-rst
